PERCEPTION
GENERIC OBJECT RECOGNITION BASED ON FEATURE FUSION IN ROBOT PERCEPTION
Xinde Li, Chaomin Luo, Jean Dezert, Yingzi Tan
- 发表年份
- 2016
- 引用次数
- 3
摘要
A new generic object recognition (GOR) method for robot perception is proposed in this paper, based on multi-feature fusion of two-dimensional (2D) and 3D scale invariant feature transform descriptors drawn from 2D images and 3D point clouds.
关键词
Artificial intelligenceComputer visionComputer scienceFeature (linguistics)Cognitive neuroscience of visual object recognitionPattern recognition (psychology)Object (grammar)FusionRobotInvariant (physics)
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002